{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/qiskit/providers/ibmq/ibmqfactory.py:192: UserWarning: Timestamps in IBMQ backend properties, jobs, and job results are all now in local time instead of UTC.\n",
      "  warnings.warn('Timestamps in IBMQ backend properties, jobs, and job results '\n",
      "ibmqfactory.load_account:WARNING:2020-09-10 23:56:07,212: Credentials are already in use. The existing account in the session will be replaced.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "# Importing standard Qiskit libraries and configuring account\n",
    "from qiskit import QuantumCircuit, execute, Aer, IBMQ\n",
    "from qiskit.compiler import transpile, assemble\n",
    "from qiskit.tools.jupyter import *\n",
    "from qiskit.visualization import *\n",
    "# Loading your IBM Q account(s)\n",
    "provider = IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 8 - Terra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 176.258x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import registers\n",
    "from qiskit import QuantumRegister, ClassicalRegister\n",
    "\n",
    "qr = QuantumRegister(2, 'my_Q')\n",
    "cr = ClassicalRegister(2, 'my_C')\n",
    "qc = QuantumCircuit(qr,cr)\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "qc = QuantumCircuit(QuantumRegister(2, 'my_Q'), ClassicalRegister(2, 'my_C'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 162.412x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import the register classes\n",
    "from qiskit import QuantumRegister, ClassicalRegister\n",
    "#Create the quantum and classical registers, each with labels\n",
    "qr1 = QuantumRegister(2, name='qr1')\n",
    "cr1 = ClassicalRegister(2, name='cr1')\n",
    "#Create the quantum circuit using the registers\n",
    "qc1 = QuantumCircuit(qr1, cr1)\n",
    "#Draw the circuit\n",
    "qc1.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 162.557x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create two Quantum and Classical registers\n",
    "qr2 = QuantumRegister(2, name='qr2')\n",
    "cr2 = ClassicalRegister(2, name='cr2')\n",
    "#Create a second circuit using the registers created above\n",
    "qc2 = QuantumCircuit(qr2, cr2)\n",
    "#Draw the second quantum circuit\n",
    "qc2.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 162.557x385.28 with 1 Axes>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Concatenate the two previous circuits to create a new circuit\n",
    "qc_combined = qc1 + qc2\n",
    "#Draw the concatenated circuit\n",
    "qc_combined.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 562.177x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import the random_circuit class\n",
    "from qiskit.circuit.random import random_circuit\n",
    "#Construct the random circuit with the number of qubits = 3\n",
    "#with a depth = 2, and include the measurement operator for each qubit\n",
    "qc = random_circuit(3, 2, measure=True)\n",
    "#Draw the circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 562.032x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the random circuit class\n",
    "from qiskit.circuit.random import random_circuit\n",
    "#Create two random circuits, each with 2 qubit registers and random #gate operator counts.\n",
    "qc1 = random_circuit(2,2)\n",
    "qc2 = random_circuit(2,4)\n",
    "#Concatenate the two random circuits\n",
    "qc = qc1 + qc2\n",
    "#Draw the circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Define function to print circuit properties:\n",
    "def print_circuit_props(qc):\n",
    "    width = qc.width()\n",
    "    depth = qc.depth()\n",
    "    num_operators = qc.count_ops()\n",
    "    circuit_size = qc.size()\n",
    "    print('Width = ',width) \n",
    "    print('Depth = ', depth)\n",
    "    print('Circuit size = ',circuit_size)\n",
    "    print('Number of operators = ', num_operators)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Width =  2\n",
      "Depth =  6\n",
      "Circuit size =  11\n",
      "Number of operators =  OrderedDict([('rx', 3), ('rz', 2), ('z', 2), ('h', 2), ('rzz', 1), ('sdg', 1)])\n"
     ]
    }
   ],
   "source": [
    "#Pass our quantum circuit to print out the circuit properties\n",
    "print_circuit_props(qc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 773.059x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use measure_all() to automatically add the barrier, measurement, and #classical register to our existing circuit.\n",
    "qc.measure_all()\n",
    "#Draw the circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Width =  4\n",
      "Depth =  7\n",
      "Circuit size =  13\n",
      "Number of operators =  OrderedDict([('rx', 3), ('rz', 2), ('z', 2), ('h', 2), ('measure', 2), ('rzz', 1), ('sdg', 1), ('barrier', 1)])\n"
     ]
    }
   ],
   "source": [
    "#Print out the circuit properties\n",
    "print_circuit_props(qc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 200.977x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = QuantumCircuit(3)\n",
    "qc.ccx(0,1,2)\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Width =  3\n",
      "Depth =  1\n",
      "Circuit size =  1\n",
      "Number of operators =  OrderedDict([('ccx', 1)])\n"
     ]
    }
   ],
   "source": [
    "#Print out the circuit properties\n",
    "print_circuit_props(qc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Width =  3\n",
      "Depth =  11\n",
      "Circuit size =  15\n",
      "Number of operators =  OrderedDict([('cx', 6), ('t', 4), ('tdg', 3), ('h', 2)])\n"
     ]
    }
   ],
   "source": [
    "#Print out the circuit properties\n",
    "print_circuit_props(qc.decompose())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Customization and Parameterization of circuits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 281.081x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a custom two-qubit composite gate\n",
    "#Create the quantum register\n",
    "qr = QuantumRegister(2, name='qr_c')\n",
    "#Generate quantum circuit which will make up the composite gate\n",
    "comp_qc = QuantumCircuit(qr, name='my-composite')\n",
    "#Add any gates you wish to your composite gate\n",
    "comp_qc.h(0)\n",
    "comp_qc.cx(0, 1)\n",
    "#Create the composite instructions by converting \n",
    "#the QuantumCircuit to a list of Instructions\n",
    "composite_inst = comp_qc.to_instruction()\n",
    "#Draw the circuit which will represent the composite gate\n",
    "comp_qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 330.031x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create your 2-qubit circuit to generate your composite gate\n",
    "qr2 = QuantumRegister(3, 'qr')\n",
    "#Create a quantum circuit using the quantum register\n",
    "qc = QuantumCircuit(qr2)\n",
    "#Add any arbitrary gates that would represent the function \n",
    "#of the composite gate \n",
    "qc.h(0)\n",
    "qc.cx(0,1)\n",
    "qc.cx(0,2)\n",
    "#Draw the composite circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 510.631x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Append your composite gate to the specified qubits. \n",
    "qc.append(composite_inst, [qr2[0], qr2[1]])\n",
    "#Draw the complete circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 321.232x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import the Parameter object\n",
    "from qiskit.circuit import Parameter\n",
    "#Construct the Parameter set to Theta\n",
    "param_theta = Parameter('θ')\n",
    "#Create a two-qubit quantum circuit and add some gates\n",
    "qc = QuantumCircuit(2)\n",
    "qc.h(0)\n",
    "qc.cx(0, 1)\n",
    "#Include a rotation gate which we wish to apply \n",
    "#the Parameter value \n",
    "qc.rz(param_theta,0)\n",
    "qc.rz(param_theta,1)\n",
    "#Draw the circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 321.232x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "#Bind the parameters with a value, in this case 2π\n",
    "qc = qc.bind_parameters({param_theta: 2*np.pi})\n",
    "#Draw the circuit with the set parameter values\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generating Pulse schedules on quantum hardware"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import pulse classes\n",
    "from qiskit.pulse import SamplePulse, DriveChannel, Play, Schedule\n",
    "#Import some helpful utils\n",
    "from qiskit.scheduler.utils import measure_all\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/qiskit/pulse/library/sample_pulse.py:44: DeprecationWarning: SamplePulse has been renamed to Waveform and is deprecated. Please replace SamplePulse(samples, channel) with Waveform(samples, channel).\n",
      "  \"Waveform(samples, channel).\", DeprecationWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import numpy and generate the sin sample values\n",
    "import numpy as np\n",
    "x = np.linspace(0,2*np.pi,64)\n",
    "data = np.sin(x)\n",
    "#Generate our SamplePulse \n",
    "sample_pulse = SamplePulse(data, name=\"sin_64_pulse\")\n",
    "#Draw the generated sample pulse\n",
    "sample_pulse.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:2: DeprecationWarning: the pulse_lib module is deprecated, pulse_lib is renamed to library\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import the Gaussian Square pulse from Pulse Library\n",
    "from qiskit.pulse.pulse_lib import GaussianSquare\n",
    "#Create a Gaussian Square pulse: \n",
    "#Args: duration, amp, sigma, width, name\n",
    "gaussian_square_pulse = GaussianSquare(128,1,2,112, \"gaussian square\")\n",
    "gaussian_square_pulse.draw()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generating and executing Schedules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0qvrMDY7hyUlecp5jaBljvDzJ789svk+S39ro13CeqnpcVf1iVV17HsMDANi1xEUA2H3um+Sbkrylql5TVV9SVfOenXiOqnpsVb000+zEeUHs348xTqx1jjHGrZmeN3jHzEf3T/LaqnpBVX3QOuM4UFVPraqfy7QCdTvubJcxxm8med6cj56V5E0r34d1F0qpqsNV9dlV9bNJ/iHTbMIHbWAI35TkrTPb7pnklVX13EXXrqorq+rnk3zHqs2LFuxZ08r3fl4I/bmVmbVz/25ZVZdX1XcleWWmoJck7+mM4Tx9TpIbZ7Y9MMlvV9VPVtVHrHeCmnx4VX1zVf1ZktdlerzApVs+WgCAXaCmf4gHAC52VfWNSb5rjV3eleQPMwWr9yQ5kWlV4COZni/30Uk+YI3jfyLJl40N/uWgqr4g0+zHRYti/HmSP1gZ182ZFvB4vySPyLRS8L1X7fs1Y4wfWONaL865s+4ePMZ460bGOnOuL8q5szafPMZ4zQaPf0mSL1zw8alMtw6/KdP34GSSQ5m+Bx+Y5COTPDRJzRz3+2OMx2/g2k/KFOjuMefjk0l+I8kNmVZ1fkCmlaGflPf9Hr0iU1x8n6/nGGN2TIvGcEWS6zJ/pei/Xxnf25LcmSk4f1SSx+d9Vyb/uSSnO2PYgu/fR2eagXlkwS5vyzTD8R+SHM/0vbpvpt/vwzN9D+8z57hPGmO8aiNjOF9V9WuZvqaLHMi5/3hwNskt65z6EWOMt5/P2ACA/ce/sALA3vGAJE9tHDeS/KckX7vRsJgkY4yfqqp/SvJfMz+2PGLl154yxnhmVV2X5Dtzblg9mOQJK78uxLVfW1XPSPJLOTcwHs40M28tf55pEZP/dB5jeGdVfUmm2+dnf/8flORL1jnFK5N8cabb67fdGOOPVwLjyzKFwlkPysZmku6kQ5mC52ZcsoFj3NUEAGyav0AAwO7xC5mC1nVbeM4/TfL4McbXbCYs3mWM8RtJHpM1FoHZgNM5dwXqi9oY43uSPDHJ727B6f44yY9u4tqvSPLJmWYobsZ/T/LEMcZ7N3ncvDH8cpLPTHLrZg5L8kNJnrqyMNCOGWO8Jcnjkjw/yU3nebqbk/xktvbPJQDAriEuAsAuMcb42zHGc8cYH57kqkzP+ntRkv+ZZHmjp8n0jMMfTPLYMcajxhivO89x/fUY4+mZIuOLcu4z7ea5I8mrk3xdkg8cY7z0fMawE8YYrxtjPCnJx2dazXl2kZtFbs00e+/fJbl6jPHoMcZPb/Lav5tpVui/T3L9WrtmujX9s8cYn7YVYXHVGP5bpp/DH850C/4iZzLF58eNMb56jHHnVo3hfIwxbh9j/IdMsxSfkykUbzR63pApCD8jyRVjjGeNMd5xYUYKAHBx88xFANgDVhbzuCrT8/wekOkW2XtlegbgzSu/3prkL1YW5bjQ43l4kg/N9My9+2X6B82TSf4pUwy9foxx6kKPY7tV1UOSXJ3p93y/TN+DWzL93v8h0+/9bZ1Zoutc95qV6z4w0/f+liRvSfLGMcY7t/JaC65/Saa4fNf3/GCm5z7+dZLXjzFmV5i+KK38OXp0pq/j/TI9Z/HOTN+/E5nC/PVjjPWeXQgAsG+IiwAAAABAi9uiAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaBEXAQAAAIAWcREAAAAAaLl0pwdwMaiq6xZ89LAktyf5+20cDgAAAAAXpw9KctsY44qdHsjFQlxc29KBAwcOP+QhD7l6pwcCAAAAwM56y1vektOnT+/0MC4q4mKSMcY187ZX1XUPechDrv7DN/7Rdg8JAAAAgIvMxzzm0bn++uvd4bqKZy4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQIi4CAAAAAC3iIgAAAADQculOD+BiUFXXLfjoqm0dCAAAAADsImYuAgAAAAAtZi4mGWNcM2/7yozGq7d5OAAAAACwK5i5CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAAAAAC0iIsAAAAAQIu4CAA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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the first schedule with our Gaussian Square pulse\n",
    "schedule_1 = Schedule(name='Schedule 1')\n",
    "schedule_1 = schedule_1.insert(0, Play(gaussian_square_pulse, DriveChannel(0)))\n",
    "#Draw the schedule\n",
    "schedule_1.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a second schedule with our sample pulse\n",
    "schedule_2 = Schedule(name='Schedule 2')\n",
    "schedule_2 = schedule_2.insert(0, Play(sample_pulse, DriveChannel(0)))\n",
    "#Draw the schedule\n",
    "schedule_2.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's create a third schedule \n",
    "#Where we add the first schedule and second schedules\n",
    "#And shift the second to the right by a time of 5 after the first\n",
    "schedule_3 = schedule_1.insert(schedule_1.duration+5, schedule_2)\n",
    "schedule_3.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We could have also combined the two using the append operator\n",
    "#The two schedules are appended immediately after one another\n",
    "schedule_3_append = schedule_1.append(schedule_2)\n",
    "schedule_3_append.draw()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scheduling existing quantum circuits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 247.906x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = QuantumCircuit(1, 1)\n",
    "qc.h(0)\n",
    "qc.measure(0,0)\n",
    "#Draw the circuit\n",
    "qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 247.906x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import transpile and schedule\n",
    "from qiskit import transpile, schedule \n",
    "#Set the backend to ibmq_armonk\n",
    "backend = provider.get_backend('ibmq_armonk')\n",
    "#Transpile the circuit using basis gates from the specified backend\n",
    "transpiled_qc = transpile(qc, backend)  \n",
    "#Draw the transpiled circuit\n",
    "transpiled_qc.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the circuit schedule using the transpiled circuit\n",
    "circuit_schedule = schedule(transpiled_qc, backend)\n",
    "#Draw the circuit\n",
    "circuit_schedule.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Draw the circuit with a shorter time range to ease visibility\n",
    "circuit_schedule.draw(plot_range=[0, 1500])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 381.432x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a 2-qubit circuit\n",
    "qc2 = QuantumCircuit(2, 2)\n",
    "#Apply a Hadamard to the first qubit\n",
    "qc2.h(0)\n",
    "#Apply a CNOT gate where the Source is qubit 0, and Target qubit 1\n",
    "qc2.cx(0, 1)\n",
    "#Add measurement gates to all qubits\n",
    "qc2.measure([0, 1], [0, 1])\n",
    "#Draw the circuit\n",
    "qc2.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 497.821x1288.28 with 1 Axes>"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import the test backend\n",
    "from qiskit.test.mock import FakeAlmaden\n",
    "#Construct the backend\n",
    "backend = FakeAlmaden()\n",
    "#Transpile the circuit to the test backend and its basis states\n",
    "transpiled_qc2 = transpile(qc2, backend)\n",
    "#Draw the transpiled circuit\n",
    "transpiled_qc2.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1800 with 1 Axes>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the circuit from the transpiled circuit results\n",
    "circuit_schedule2 = schedule(transpiled_qc2, backend)\n",
    "#Draw the 2-qubit circuit schedule with range of 2000 time steps\n",
    "circuit_schedule2.draw(plot_range=[0, 2000])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Leveraging Provider information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the IBMQ interface\n",
    "from qiskit import IBMQ\n",
    "\n",
    "#Save account ONLY needed if running on a local system for first time\n",
    "#Uncomment below if running for the first time on a local machine.\n",
    "#IBMQ.save_account('API_TOKEN') \n",
    "\n",
    "#Load the account which was saved on local system using save_account.\n",
    "#Note: this is handled each time a Qiskit Notebook is loaded on IQX.\n",
    "IBMQ.load_account()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Indicate a hub to link account to:\n",
    "IBMQ.get_provider(hub='ibm-q')\n",
    "#Indicate a project which your account is associated with\n",
    "IBMQ.get_provider(project='my_project')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<IBMQSimulator('ibmq_qasm_simulator') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmqx2') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_16_melbourne') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_vigo') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_ourense') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_valencia') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_london') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_burlington') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_essex') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_armonk') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_santiago') from IBMQ(hub='ibm-q', group='open', project='main')>]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the Provider object using the IBMQ interface \n",
    "provider = IBMQ.get_provider(group='open')\n",
    "#Query the list of backends available to your account\n",
    "provider.backends()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<IBMQBackend('ibmqx2') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_16_melbourne') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_vigo') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_ourense') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_valencia') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_armonk') from IBMQ(hub='ibm-q', group='open', project='main')>,\n",
       " <IBMQBackend('ibmq_santiago') from IBMQ(hub='ibm-q', group='open', project='main')>]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Filter the list of backends to include only non-simulator, \n",
    "#and operational (meaning, not offline or under maintenance)\n",
    "provider.backends(simulator=False, operational=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Select a specific device from the provider\n",
    "backend = provider.get_backend('ibmq_santiago')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The least busy small devices: ibmqx2\n",
      "The least busy large devices: ibmq_16_melbourne\n"
     ]
    }
   ],
   "source": [
    "#Import the least_busy function\n",
    "from qiskit.providers.ibmq import least_busy\n",
    "\n",
    "#Identify the least busy devices \n",
    "#smaller than 6 qubits and not a simulator\n",
    "small_devices = provider.backends(filters=lambda x: x.configuration().n_qubits < 6 and not x.configuration().simulator)\n",
    "\n",
    "#Identify the least busy devices \n",
    "#larger than 6 qubits and not a simulator\n",
    "large_devices = provider.backends(filters=lambda x: x.configuration().n_qubits > 6 and not x.configuration().simulator)\n",
    "\n",
    "#Print the least busy devices\n",
    "print('The least busy small devices: {}'.format(least_busy(small_devices)))\n",
    "print('The least busy large devices: {}'.format(least_busy(large_devices)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quantum backend components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ibmq_valencia'"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Set ibmq_valencia as the backend, or whichever backend you wish\n",
    "backend = provider.get_backend('ibmq_valencia')\n",
    "#Confirm this is the backend selected by querying for its name,\n",
    "backend.name()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of pending jobs in the queue:  6\n"
     ]
    }
   ],
   "source": [
    "#View the status of the backend\n",
    "status = backend.status()\n",
    "is_operational = status.operational\n",
    "jobs_in_queue = status.pending_jobs\n",
    "print('Number of pending jobs in the queue: ', jobs_in_queue)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9e1df6d88a824ea6bed94fdac4ea00f4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value=\"<h1 style='color:#ffffff;background-color:#000000;padding-top: 1%;padding-bottom: 1…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<IBMQBackend('ibmq_valencia') from IBMQ(hub='ibm-q', group='open', project='main')>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#View the configuration of the backend\n",
    "backend.configuration()\n",
    "backend\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[Nduv(datetime.datetime(2020, 9, 10, 8, 8, 39, tzinfo=tzlocal()), T1, us, 115.58064133062457),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 9, 58, tzinfo=tzlocal()), T2, us, 65.6235800744468),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), frequency, GHz, 4.743903363639608),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), anharmonicity, GHz, -0.31386048358781926),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), readout_error, , 0.03749999999999998),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas0_prep1, , 0.057499999999999996),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas1_prep0, , 0.0175)],\n",
       " [Nduv(datetime.datetime(2020, 9, 10, 8, 8, 39, tzinfo=tzlocal()), T1, us, 85.34345940171549),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 10, 47, tzinfo=tzlocal()), T2, us, 56.03239645961891),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), frequency, GHz, 4.6572243007717695),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), anharmonicity, GHz, -0.3105363104958379),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), readout_error, , 0.022499999999999964),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas0_prep1, , 0.03249999999999997),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas1_prep0, , 0.0125)],\n",
       " [Nduv(datetime.datetime(2020, 9, 10, 8, 8, 39, tzinfo=tzlocal()), T1, us, 64.86489955139086),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 9, 58, tzinfo=tzlocal()), T2, us, 55.07967873800369),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), frequency, GHz, 4.79245125358983),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), anharmonicity, GHz, -0.3114160171877561),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), readout_error, , 0.03874999999999995),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas0_prep1, , 0.07499999999999996),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas1_prep0, , 0.0025)],\n",
       " [Nduv(datetime.datetime(2020, 9, 10, 8, 8, 39, tzinfo=tzlocal()), T1, us, 72.31055983537766),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 9, 58, tzinfo=tzlocal()), T2, us, 51.78411084768143),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), frequency, GHz, 4.834409674038288),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), anharmonicity, GHz, -0.30961084229993835),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), readout_error, , 0.018750000000000044),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas0_prep1, , 0.030000000000000027),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas1_prep0, , 0.0075)],\n",
       " [Nduv(datetime.datetime(2020, 9, 10, 8, 8, 39, tzinfo=tzlocal()), T1, us, 35.95301446195105),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 10, 47, tzinfo=tzlocal()), T2, us, 48.10710745033161),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), frequency, GHz, 4.959525105116067),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 30, 59, tzinfo=tzlocal()), anharmonicity, GHz, -0.3094764772112857),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), readout_error, , 0.011249999999999982),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas0_prep1, , 0.020000000000000018),\n",
       "  Nduv(datetime.datetime(2020, 9, 10, 8, 7, 58, tzinfo=tzlocal()), prob_meas1_prep0, , 0.0025)]]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display the number of qubits from the backend properties\n",
    "backend.properties().qubits\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frequency of first qubit is: 4743903363.639607\n",
      "Readout error of first qubit is: 0.03749999999999998\n"
     ]
    }
   ],
   "source": [
    "#Print out the frequency of qubit (0)\n",
    "print('Frequency of first qubit is: '+ str(backend.properties().frequency(0)))\n",
    "#Print out the readout error of qubit (0)\n",
    "print('Readout error of first qubit is: '+ str(backend.properties().readout_error(0)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 351.659x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Run a few jobs on this backend to generate jobs on the backend\n",
    "qc = QuantumCircuit(1)\n",
    "qc.h(0)\n",
    "qc.measure_all()\n",
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Launch the job watcher widget\n",
    "%qiskit_job_watcher\n",
    "\n",
    "for i in range(0,3):\n",
    "    result = execute(qc, backend, shots=1024).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#List out the last 3 jobs we ran on the device\n",
    "for executed_job in backend.jobs(limit=3):\n",
    "    print('Job id: '\n",
    "          + str(executed_job.job_id()) + ', ' \n",
    "          + str(executed_job.end_date) + ', ' \n",
    "          + str(executed_job.status()))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Understanding the Job component"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#From the previous output of executed jobs, enter its job id.\n",
    "job = backend.retrieve_job(executed_job.job_id())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Print the job instance status\n",
    "job.status()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "job.result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "job.backend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3>Version Information</h3><table><tr><th>Qiskit Software</th><th>Version</th></tr><tr><td>Qiskit</td><td>0.20.1</td></tr><tr><td>Terra</td><td>0.15.2</td></tr><tr><td>Aer</td><td>0.6.1</td></tr><tr><td>Ignis</td><td>0.4.0</td></tr><tr><td>Aqua</td><td>0.7.5</td></tr><tr><td>IBM Q Provider</td><td>0.8.0</td></tr><tr><th>System information</th></tr><tr><td>Python</td><td>3.7.8 | packaged by conda-forge | (default, Jul 31 2020, 02:25:08) \n",
       "[GCC 7.5.0]</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>8</td></tr><tr><td>Memory (Gb)</td><td>31.40900421142578</td></tr><tr><td colspan='2'>Fri Sep 11 00:30:59 2020 UTC</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import qiskit.tools.jupyter\n",
    "%qiskit_version_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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